TY - JOUR
T1 - News Bots
T2 - Automating news and information dissemination on Twitter
AU - Lokot, Tetyana
AU - Diakopoulos, Nicholas
N1 - Publisher Copyright:
© 2015 Taylor & Francis.
PY - 2016/8/17
Y1 - 2016/8/17
N2 - So-called “robot” journalism represents a shift towards the automation of journalistic tasks related to news reporting, writing, curation, and even data analysis. In this paper, we consider the extension of robot journalism to the domain of social platforms and study the use of “news bots”—automated accounts that participate in news and information dissemination on social networks. Such bots present an intriguing development opportunity for news organizations and journalists. In particular, we analyze a sample of existing news bot accounts on Twitter to understand how news bots are currently being used and to examine how using automation and algorithms may change the modern media environment. Based on our analysis, we propose a typology of news bots in the form of a design and editorial decision space that can guide designers in defining the intent, utility, and functionality of future bots. The proposed design space highlights the limits of news bots (e.g., automated commentary and opinion, algorithmic transparency and accountability) and areas where news bots may enable innovation, such as niche and local news.
AB - So-called “robot” journalism represents a shift towards the automation of journalistic tasks related to news reporting, writing, curation, and even data analysis. In this paper, we consider the extension of robot journalism to the domain of social platforms and study the use of “news bots”—automated accounts that participate in news and information dissemination on social networks. Such bots present an intriguing development opportunity for news organizations and journalists. In particular, we analyze a sample of existing news bot accounts on Twitter to understand how news bots are currently being used and to examine how using automation and algorithms may change the modern media environment. Based on our analysis, we propose a typology of news bots in the form of a design and editorial decision space that can guide designers in defining the intent, utility, and functionality of future bots. The proposed design space highlights the limits of news bots (e.g., automated commentary and opinion, algorithmic transparency and accountability) and areas where news bots may enable innovation, such as niche and local news.
KW - Twitter
KW - algorithmic journalism
KW - automated journalism
KW - bots
KW - computational journalism
KW - news bots
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=84965082782&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84965082782&partnerID=8YFLogxK
U2 - 10.1080/21670811.2015.1081822
DO - 10.1080/21670811.2015.1081822
M3 - Article
AN - SCOPUS:84965082782
SN - 2167-0811
VL - 4
SP - 682
EP - 699
JO - Digital Journalism
JF - Digital Journalism
IS - 6
ER -